發(fā)布時(shí)間：2018-06-17 17:20

  本文選題：三角模糊數(shù) + 貝葉斯水質(zhì)模型�。� 參考：《環(huán)境污染與防治》2016年11期

【摘要】：用三角模糊數(shù)表征參評的水質(zhì)指標(biāo)濃度,并進(jìn)行α截集處理,將經(jīng)過處理的區(qū)間數(shù)代入傳統(tǒng)的貝葉斯水質(zhì)模型,建立了三角模糊數(shù)優(yōu)化的貝葉斯水質(zhì)模型評價(jià)方法。該方法綜合了三角模糊數(shù)和貝葉斯水質(zhì)模型的共同優(yōu)點(diǎn),考慮了水質(zhì)監(jiān)測過程中的誤差,通過計(jì)算各采樣點(diǎn)水質(zhì)對不同水質(zhì)級別的隸屬度,再判定水質(zhì)級別。將該方法應(yīng)用于太湖竺山灣緩沖帶濕地,結(jié)果表明:竺山灣緩沖帶濕地水體水質(zhì)為Ⅲ~Ⅳ類,未能達(dá)到Ⅰ類水質(zhì)目標(biāo)的要求;水體TN和COD污染較嚴(yán)重,在緩沖帶生態(tài)建設(shè)和功能修復(fù)工作中應(yīng)重點(diǎn)關(guān)注氮和有機(jī)物污染。
[Abstract]:The concentration of water quality index was represented by triangular fuzzy number, and the 偽 -cut set was processed. The treated interval number was substituted into the traditional Bayesian water quality model, and the Bayesian water quality model evaluation method with triangle fuzzy number optimization was established. This method combines the common advantages of triangular fuzzy number and Bayesian water quality model, and considers the errors in the process of water quality monitoring, and then determines the water quality grade by calculating the membership degree of water quality of each sampling point to different water quality levels. The results show that the water quality in the buffer zone of Zhushan Bay is 鈪，

本文編號(hào)：2031848